CN110555623B - Method and device for screening main influence factors of daily operation efficiency of power distribution equipment - Google Patents
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Abstract
The invention discloses a method and a device for screening main influence factors of daily operation efficiency of power distribution equipment, wherein the method comprises the steps of determining influence parameters of the daily operation efficiency of the power distribution equipment; obtaining a plurality of values of the daily operating efficiency of the power distribution equipment collected in a preset time period and a plurality of values of each influence parameter collected in the preset time period respectively; clustering a plurality of values of daily operating efficiency to obtain a plurality of daily operating efficiency item sets; for any influencing parameter: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter; and determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from the influence parameters according to the association degree. Therefore, the main influence factors of the daily operating efficiency of the power distribution equipment are screened out.
Description
Technical Field
The invention relates to the field of urban network evaluation management, in particular to a method and a device for screening main influence factors of daily operation efficiency of power distribution equipment.
Background
After the twenty-first century, the development of the electric power industry in China is unprecedentedly high, and the development of the power grid makes great progress and achievement. The power distribution network is an important link directly facing power consumers, and the grid structure and the device of the power distribution network are rapidly developed after long-term investment and construction. Due to the rapid increase of the load and the insufficient planning of construction planning, the conditions of no load or heavy load of partial lines and transformers are serious, and the running efficiency of the power distribution network is unreasonable. Under the background of improving the quality and the efficiency of a power grid, the equipment needs to be modified or upgraded in a targeted manner according to main influence factors of the operation efficiency of the power distribution network equipment, so that the economic value of the equipment in the whole life cycle is improved.
The identification of the influence factors of the operation efficiency is one-step important work, the traditional practical method is a fishbone diagram method, the influence factors of the operation efficiency can be found out by using the method, but the method is too complex, can only carry out qualitative analysis, and has poor practicability.
Disclosure of Invention
In view of this, the invention provides a method and a device for screening main influence factors of daily operation efficiency of power distribution equipment. The method is simple, can quantitatively screen main influence factors on daily operation efficiency, and has strong practicability.
In order to achieve the above object, the present invention provides the following technical solutions:
the invention discloses a method for screening main influence factors of daily operation efficiency of power distribution equipment, which comprises the following steps:
determining an influence parameter on the daily operating efficiency of the power distribution equipment;
obtaining a plurality of values of the daily operating efficiency of the power distribution equipment collected in a preset time period and a plurality of values of each influence parameter collected in the preset time period respectively;
clustering the multiple values of the daily operating efficiency to obtain multiple daily operating efficiency item sets;
for any of the influencing parameters: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter;
and determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from the influence parameters according to the association degree.
Optionally, the determining the influence parameter on the daily operating efficiency of the power distribution device includes:
determining at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect and the plurality of parameters of the environmental influence as an influence parameter on the daily operation efficiency of the power distribution equipment.
Optionally, the obtaining a plurality of values of the daily operating efficiency of the power distribution device collected in a preset time period includes:
and obtaining the actual load rate of the power distribution equipment in the preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, the preset reasonable load rate and the penalty factor.
Optionally, determining a plurality of values of daily operating efficiency of the power distribution device according to the actual load rate of the power distribution device, a preset reasonable load rate and a penalty factor, including:
according to the formula
Calculating to obtain a plurality of values of the daily operating efficiency of the power distribution equipment, wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load factor of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
Optionally, the determining, by using an association rule algorithm, an association degree of the daily operating efficiency item set and the influence parameter item set, and screening a main influence parameter from the influence parameters according to the association degree includes:
for each of the daily operating efficiency item sets: comparing the daily operating efficiency item set with a plurality of item set groups respectively, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set groups comprise at least one item set in the influence parameter item sets, and the element groups with the same time consist of one element in the daily operating efficiency item set and one element in each item set in the compared item set groups; the acquisition time of each element in the element group with the same time is the same;
and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as main influence parameters.
The second aspect of the invention discloses a device for screening main influence factors of daily operation efficiency of power distribution equipment, which comprises: a determining unit, an acquisition unit, a daily operation efficiency clustering unit, an influence parameter clustering unit and a screening unit,
the determining unit is used for determining the influence parameters on the daily operating efficiency of the power distribution equipment;
the acquisition unit is used for acquiring a plurality of values acquired by the daily operating efficiency of the power distribution equipment within a preset time period and a plurality of values acquired by each influence parameter within the preset time period respectively;
the daily operating efficiency clustering unit is used for clustering a plurality of values of the daily operating efficiency to obtain a plurality of daily operating efficiency item sets;
the influence parameter clustering unit is configured to, for any one of the influence parameters: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter;
and the screening unit is used for determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from the influence parameters according to the association degree.
Optionally, the determining unit is specifically configured to:
determining at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect and the plurality of parameters of the environment influence as an influence parameter on the daily operation efficiency of the power distribution equipment.
Optionally, the acquisition unit is specifically configured to:
and obtaining the actual load rate of the power distribution equipment in the preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, the preset reasonable load rate and the penalty factor.
Optionally, the acquisition unit is specifically configured to:
obtaining the actual load rate of the power distribution equipment in the preset time period according to a formula
Calculating a plurality of values of daily operating efficiency of the power distribution equipment,wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load rate of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
Optionally, the screening unit includes: a quantity determination subunit and a parameter determination subunit,
the number determination subunit is configured to: for each of the daily operating efficiency item sets: comparing the daily operating efficiency item set with a plurality of item set groups respectively, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set groups comprise at least one item set in the influence parameter item sets, and the element groups with the same time consist of one element in the daily operating efficiency item set and one element in each item set in the compared item set groups; the acquisition time of each element in the element group with the same time is the same;
the parameter determination subunit is configured to: and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as main influence parameters.
The invention discloses a method and a device for screening main influence factors of daily operating efficiency of power distribution equipment, wherein the method and the device determine the influence parameters of the daily operating efficiency of the power distribution equipment; obtaining a plurality of values of the daily operating efficiency of the power distribution equipment collected in a preset time period and a plurality of values of each influence parameter collected in the preset time period respectively; clustering a plurality of values of daily operating efficiency to obtain a plurality of daily operating efficiency item sets; for any influencing parameter: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter; and determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from the influence parameters according to the association degree. Therefore, the main influence factors of the daily operating efficiency of the power distribution equipment are screened out. The method has certain guiding significance for improving the equipment operation level by adjusting main influencing factors in a targeted manner.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a schematic flowchart of a method for screening main influence factors of daily operating efficiency of power distribution equipment according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the influencing factors of daily operating efficiency provided by the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for screening main influence factors of daily operating efficiency of power distribution equipment according to an embodiment of the present invention.
Detailed Description
The invention discloses a method and a device for screening main influence factors of daily operation efficiency of power distribution equipment. It is expressly intended that all such similar substitutes and modifications which would be obvious to one skilled in the art are deemed to be included in the invention. While the methods and applications of this invention have been described in terms of preferred embodiments, it will be apparent to those of ordinary skill in the art that variations and modifications in the methods and applications described herein, as well as other suitable variations and combinations, may be made to implement and use the techniques of this invention without departing from the spirit and scope of the invention.
The existing evaluation indexes about the operating efficiency of the power distribution network are usually limited to a certain aspect; for example, the conventional load factor does not fully consider the safety and reliability of the power grid, but only the economic efficiency. In the comprehensive index method, index weight is often determined by experts, so that manual intervention is excessive to a certain extent, and objectivity is lost. The identification of the influencing factors of the operation efficiency is also one-step important work. The traditional practical method is a fishbone diagram method, and by utilizing the method, influence factors of the operation efficiency can be found out logically and comprehensively orderly, but the method is too complex, can only carry out qualitative analysis, and has poor practicability. Therefore, the invention provides a method and a device for screening main influence factors of daily operation efficiency of power distribution equipment, which fully consider the safety, reliability and economy of a power distribution system, adopt a new operation efficiency evaluation index, adopt a data mining method and analyze the relation between the influence factors and the operation efficiency by using an Apriori1 algorithm (association rule algorithm). And analyzing several most important influence factors according to the finally obtained frequent item set.
As shown in fig. 1, a schematic flow diagram of a method for screening main influence factors of daily operating efficiency of power distribution equipment according to an embodiment of the present invention includes:
step S101: determining an impact parameter on daily operating efficiency of the power distribution equipment.
Optionally, in a specific embodiment, at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect, and the plurality of parameters of the environmental influence is determined as an influence parameter on daily operation efficiency of the power distribution equipment.
It should be noted that the determination of the influencing parameters from the apparatus, operation, structure and environment is performed according to a hierarchical hierarchy of analytic hierarchy processes. Meanwhile, the level of influence on the parameters and the difficulty degree of adjustment can be more intuitively reflected.
Optionally, as shown in fig. 2, the multiple parameters of the device influence aspect include: equipment quality, whether to overhaul the previous day, equipment rated capacity, etc. A plurality of parameters of a structural influence aspect, comprising: grid structure, equipment technology level, safety limit coefficient, etc. A plurality of parameters of operational impact aspects, including: load rate, peak-to-valley difference rate, average load rate, maximum load rate, light load time ratio, overrun time ratio and the like. The environmental impact aspects include: temperature, humidity, wind, air pressure, etc. The influencing parameters in fig. 2 are some, but not all, of the various aspects.
Step S102: and obtaining a plurality of values acquired by the daily operating efficiency of the power distribution equipment in a preset time period and a plurality of values acquired by each influence parameter in the preset time period respectively.
Optionally, the obtaining of multiple values of the daily operating efficiency of the power distribution device collected in a preset time period includes:
the method comprises the steps of obtaining the actual load rate of the power distribution equipment in a preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, a preset reasonable load rate and a penalty factor.
Alternatively, the invention may be based on formulas
Calculating to obtain a plurality of values of the daily operating efficiency of the power distribution equipment, wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load rate of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
It should be noted that when the load rate exceeds a reasonable value, a safety risk is often brought about, and therefore a higher penalty factor is given when the load rate exceeds the reasonable value.
Step S103: and clustering a plurality of values of the daily operating efficiency to obtain a plurality of daily operating efficiency item sets.
It should be noted that, clustering a plurality of values of daily operating efficiency can collect the values with similar operating efficiency together to form the same type of item set.
Optionally, in a specific embodiment, the daily operation efficiency is divided into three categories, i.e., a high daily operation efficiency item set, a medium daily operation efficiency item set, and a low daily operation efficiency item set.
Step S104: for any influencing parameter: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter.
Optionally, in a specific embodiment, a certain influence parameter may be classified into three categories, i.e., high, medium, and low, such as a temperature is classified into three categories, i.e., a temperature high item set, a temperature medium item set, and a temperature low item set.
Optionally, in step S103 and step S104, both the used clustering algorithms are k-means clustering algorithms. That is, at least one cluster center is firstly given, and the distance between each object and the center is respectively calculated. Each object is then assigned to the cluster center closest thereto. The cluster center will be recalculated after each clustering. And after one iteration, obtaining the minimum sum of squared errors, wherein the clustering center is unchanged and the clustering is finished.
Optionally, if three clustering centers are given, the clustering objective function is as follows:
in the formula: x is the number ofiIs the ith data in the data set; n is the number of data in the data set; k is a radical of1、k2、k3Three cluster centers in the cluster analysis, respectively. K is finally obtained through iterative calculation of one time1、k2、k3And successfully classify the data into three classes.
Step S105: and determining the association degree of the daily operation efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from all the influence parameters according to the association degree.
Optionally, in a specific embodiment, the determining, by using an association rule algorithm, an association degree of the daily operating efficiency item set and the influence parameter item set, and screening the main influence parameters from the influence parameters according to the association degree includes:
operating the set of efficiency terms for each day: comparing the daily operating efficiency item set with a plurality of item set groups respectively, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set group comprises at least one item set in the influence parameter item set, and the element group with the same time consists of one element in the daily operating efficiency item set and one element in each item set in the compared item set group; the acquisition time of each element in the element group with the same time is the same;
and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as the main influence parameters.
It should be noted that what the number of element groups included in the daily operation efficiency item set and the item set group to be compared at the same time is the degree of association between the daily operation efficiency item set and the influence parameter item set. The greater the number of element groups that are identical at a time, the greater the degree of association. The main influence parameters screened out finally are as follows: the parameter is a clustered item set of a plurality of values acquired by a certain parameter, namely the value range of the parameter, if the parameter is temperature, the parameter item set is 20 ℃ to 30 ℃. The minimum support is a threshold value defined by a user and used for measuring the support, represents the lowest importance of the project set in the statistical sense and is recorded as minsup. The minimum support degree can ensure the accuracy of the main influence parameter item set corresponding to the operation efficiency item set every day.
Optionally, in a specific embodiment, the clustered daily operation efficiency is assumed to be divided into a daily operation efficiency high item set, a daily operation efficiency medium item set, and a daily operation efficiency low item set, and the influencing factors are determined to be temperature and wind pressure. The temperature is divided into a high temperature item set, a medium temperature item set and a low temperature item set. The wind pressure is divided into a wind pressure large item set, a wind pressure middle item set and a wind pressure small item set. Assuming that 10 collected daily operation efficiency elements exist in the daily operation efficiency, the minimum support degree is 5, comparing the collection time of the daily operation efficiency elements with the collection time of the elements with high temperature, and dividing the same collection time into an element group, such as { 80% (operation efficiency), 38 ℃ (temperature) }, wherein the operation efficiency is 80% and the operation efficiency is 38 ℃ collected at the same time, and the operation efficiency is concentrated in the daily operation efficiency high items and the temperature high items are concentrated in the temperature high items respectively. If the number of element groups is larger than the minimum support 5, the high temperature is a major factor in the high daily operating efficiency. Comparing the daily operation efficiency element collection time of high and middle daily operation efficiency with the element collection time of high and middle temperature and the element collection time of high and middle wind pressure, dividing the collection time into an element group with the same time to form a { daily operation efficiency, temperature and wind pressure } element group. Similarly, the main influence factors are screened out by comparing more influence parameter item sets.
It should be noted that the above-mentioned main influencing factors are not primary or secondary.
Based on the method for screening the main influence factors of the daily operating efficiency of the power distribution equipment disclosed by the embodiment of the invention, the embodiment of the invention also discloses a device for screening the main influence factors of the daily operating efficiency of the power distribution equipment. As shown in fig. 3, the apparatus includes: the device comprises a determining unit 301, an acquiring unit 302, a daily operating efficiency clustering unit 303, an influence parameter clustering unit 304 and a screening unit 305.
A determining unit 301, configured to determine an impact parameter on daily operating efficiency of the power distribution device.
Optionally, the determining unit 301 is specifically configured to:
determining at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect and the plurality of parameters of the environment influence as an influence parameter on the daily operation efficiency of the power distribution equipment.
It should be noted that the determination of the influencing parameters from the apparatus, operation, structure and environment is performed according to a hierarchical hierarchy of analytic hierarchy processes. Meanwhile, the level of influence on the parameters and the difficulty degree of adjustment can be more intuitively reflected.
Optionally, as shown in fig. 2, the multiple parameters of the device influence aspect include: equipment quality, whether to overhaul the previous day, equipment rated capacity, etc. A plurality of parameters of a structural influence aspect, comprising: grid structure, equipment technology level, safety limit coefficient, etc. A plurality of parameters of operational impact aspects, including: load rate, peak-to-valley difference rate, average load rate, maximum load rate, light load time ratio, overrun time ratio and the like. The environmental impact aspects include: temperature, humidity, wind, air pressure, etc. FIG. 2 illustrates some, but not all, of the parameters that comprise various aspects.
The acquisition unit 302 is configured to obtain a plurality of values acquired by the daily operation efficiency of the power distribution device within a preset time period and a plurality of values acquired by each of the influence parameters within the preset time period.
Optionally, the acquisition unit 302 is specifically configured to:
the method comprises the steps of obtaining the actual load rate of the power distribution equipment in a preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, a preset reasonable load rate and a penalty factor.
Optionally, the acquisition unit 302 is specifically configured to:
obtaining the actual load rate of the power distribution equipment in a preset time period according to a formula
Calculating to obtain a plurality of values of the daily operating efficiency of the power distribution equipment, wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load factor of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
It should be noted that when the load rate exceeds a reasonable value, a safety risk is often brought, and therefore, when the load rate exceeds a reasonable value, a higher penalty factor is given.
And a daily operating efficiency clustering unit 303, configured to cluster multiple values of daily operating efficiency to obtain multiple daily operating efficiency item sets.
It should be noted that, clustering a plurality of values of daily operating efficiency can collect the values with similar operating efficiency together to form the same type of item set.
Optionally, in a specific embodiment, the daily operation efficiency is divided into three categories, i.e., a high daily operation efficiency item set, a medium daily operation efficiency item set, and a low daily operation efficiency item set.
An influence parameter clustering unit 304, configured to cluster, for any influence parameter: and clustering the multiple values of the influence parameter to obtain multiple influence parameter item sets of the influence parameter.
Optionally, in a specific embodiment, a certain influence parameter may be classified into three categories, i.e., high, medium, and low, such as a temperature is classified into three categories, i.e., a temperature high item set, a temperature medium item set, and a temperature low item set.
Optionally, the daily operating efficiency clustering unit 303 and the response parameter clustering unit 304 use k-means clustering algorithms. That is, at least one cluster center is first provided, and the distance between each object and the center is calculated. Each object is then assigned to the cluster center closest thereto. The cluster center will be recalculated after each clustering. And after one iteration, obtaining the minimum sum of squared errors, wherein the clustering center is unchanged and the clustering is finished.
Optionally, if three clustering centers are given, the clustering objective function is as follows:
in the formula: x is the number ofiIs the ith data in the data set; n is the number of data in the data set; k is a radical of1、k2、k3Three cluster centers in the cluster analysis, respectively. K is finally obtained through iterative calculation of one time1、k2、k3And successfully classify the data into three classes.
The screening unit 305 is configured to determine a degree of association between the daily operating efficiency item set and the impact parameter item set by using an association rule algorithm, and screen a main impact parameter from each impact parameter according to the degree of association.
Optionally, the screening unit 305 includes: a quantity determination subunit and a parameter determination subunit,
a quantity determination subunit to: operating the set of efficiency terms for each day: respectively comparing the daily operating efficiency item set with a plurality of item set groups, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set group comprises at least one item set in an influence parameter item set, and the element group with the same time consists of one element in the daily operating efficiency item set and one element in each item set in the compared item set group; the acquisition time of each element in the element group with the same time is the same;
a parameter determination subunit to: and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as the main influence parameters.
It should be noted that what the number of element groups included in the daily operation efficiency item set and the item set group to be compared at the same time is the degree of association between the daily operation efficiency item set and the influence parameter item set. The main influence parameters screened out finally are as follows: the parameter is a clustered item set of a plurality of values acquired by a certain parameter, namely the value range of the parameter, if the parameter is temperature, the parameter item set is 20 ℃ to 30 ℃. The minimum support degree can ensure the accuracy of the main influence parameter item set corresponding to the operation efficiency item set every day.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (8)
1. A method for screening main influence factors of daily operation efficiency of power distribution equipment is characterized by comprising the following steps:
determining an influence parameter on the daily operating efficiency of the power distribution equipment;
obtaining a plurality of values of the daily operating efficiency of the power distribution equipment collected in a preset time period and a plurality of values of each influence parameter collected in the preset time period respectively;
clustering the multiple values of the daily operating efficiency to obtain multiple daily operating efficiency item sets;
for any of the influencing parameters: clustering the multiple values of the influence parameter to obtain multiple influence parameter item sets of the influence parameter;
determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from all the influence parameters according to the association degree;
the using of the association rule algorithm determines the association degree of the daily operating efficiency item set and the influence parameter item set, and screens main influence parameters from the influence parameters according to the association degree, wherein the method comprises the following steps:
for each of the daily operating efficiency item sets: comparing the daily operating efficiency item set with a plurality of item set groups respectively, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set groups comprise at least one item set in the influence parameter item sets, and the element groups with the same time consist of one element in the daily operating efficiency item set and one element in each item set in the compared item set groups; the acquisition time of each element in the element group with the same time is the same;
and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as main influence parameters.
2. The method of claim 1, wherein determining an impact parameter on a daily operating efficiency of the power distribution equipment comprises:
determining at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect and the plurality of parameters of the environment influence as an influence parameter on the daily operation efficiency of the power distribution equipment.
3. The method of claim 1, wherein obtaining a plurality of values collected over a preset time period of daily operating efficiency of the power distribution equipment comprises:
and obtaining the actual load rate of the power distribution equipment in the preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, the preset reasonable load rate and the penalty factor.
4. The method of claim 3, wherein determining a plurality of values of daily operating efficiency of the power distribution equipment based on the actual load rate of the power distribution equipment, a predetermined sensible load rate, and a penalty factor comprises:
according to the formula
Calculating to obtain a plurality of values of the daily operating efficiency of the power distribution equipment, wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load rate of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
5. The utility model provides a distribution equipment day operating efficiency's main influence factor sieving mechanism which characterized in that, the device includes: a determining unit, an acquisition unit, a daily operation efficiency clustering unit, an influence parameter clustering unit and a screening unit,
the determining unit is used for determining the influence parameters on the daily operating efficiency of the power distribution equipment;
the acquisition unit is used for acquiring a plurality of values acquired by the daily operating efficiency of the power distribution equipment within a preset time period and a plurality of values acquired by each influence parameter within the preset time period respectively;
the daily operating efficiency clustering unit is used for clustering a plurality of values of the daily operating efficiency to obtain a plurality of daily operating efficiency item sets;
the influence parameter clustering unit is configured to, for any one of the influence parameters: clustering the values of the influence parameter to obtain a plurality of influence parameter item sets of the influence parameter;
the screening unit is used for determining the association degree of the daily operating efficiency item set and the influence parameter item set by using an association rule algorithm, and screening main influence parameters from the influence parameters according to the association degree;
the screening unit includes: a quantity determination subunit and a parameter determination subunit;
the number determination subunit is configured to: for each of the daily operating efficiency item sets: comparing the daily operating efficiency item set with a plurality of item set groups respectively, and determining the number of element groups with the same time contained in the daily operating efficiency item set and the compared item set groups, wherein the item set group comprises at least one item set in the influence parameter item sets, and the element group with the same time consists of one element in the daily operating efficiency item set and one element in each item set in the compared item set group; the acquisition time of each element in the element group with the same time is the same;
the parameter determining subunit is configured to: and when the number is greater than the preset minimum support degree, determining the influence parameters corresponding to all sets in the item set group compared with the daily operating efficiency item set as main influence parameters.
6. The apparatus according to claim 5, wherein the determining unit is specifically configured to:
determining at least one of the plurality of parameters of the equipment influence aspect, the plurality of parameters of the structure influence aspect, the plurality of parameters of the operation influence aspect and the plurality of parameters of the environment influence as an influence parameter on the daily operation efficiency of the power distribution equipment.
7. The device according to claim 5, characterized in that said acquisition unit is specifically configured to:
and obtaining the actual load rate of the power distribution equipment in the preset time period, and determining a plurality of values of the daily operating efficiency of the power distribution equipment according to the value of the actual load rate of the power distribution equipment, the preset reasonable load rate and the penalty factor.
8. The apparatus according to claim 7, wherein the acquisition unit is specifically configured to:
obtaining the actual load rate of the power distribution equipment in the preset time period according to a formula
Calculating to obtain a plurality of values of the daily operating efficiency of the power distribution equipment, wherein OE is the instantaneous operating efficiency of the power distribution equipment; AL is the actual load rate of the distribution equipment; RL is the reasonable load rate of the distribution equipment; k is a penalty factor, N>1；OEdThe daily operating efficiency of the power distribution equipment.
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